Create app.py

app.py

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+import streamlit as st
+from transformers import pipeline
+model_name = "gpt2"
+text_generator = pipeline("text-generation", model=model_name)
+def generate_blog(topic, word_count):
+    try:
+        word_count = int(word_count)
+        prompt = f"Write a detailed blog about: {topic}\n\n"
+        generated_text = text_generator(prompt, max_length=word_count, num_return_sequences=1)
+        return generated_text[0]["generated_text"]
+    except Exception as e:
+        return f"Error: {str(e)}"
+st.title("Blog Generator")
+st.write("Provide a topic and word count to generate a blog.")
+topic = st.text_input("Blog Topic", placeholder="Enter the topic here")
+word_count = st.text_input("Word Count", placeholder="Enter the desired word count")
+if st.button("Generate Blog"):
+    if topic and word_count.isdigit():
+        with st.spinner("Generating blog..."):
+            blog_content = generate_blog(topic, word_count)
+            st.text_area("Generated Blog Content", value=blog_content, height=300)
+    else:
+        st.error("Please enter a valid topic and numerical word count.")